aim-uofa / LoRAPruneLinks
☆54Updated 5 months ago
Alternatives and similar repositories for LoRAPrune
Users that are interested in LoRAPrune are comparing it to the libraries listed below
Sorting:
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆39Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆65Updated last year
- Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLM…☆47Updated last year
- ☆56Updated last year
- ☆18Updated 6 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆68Updated 7 months ago
- A block pruning framework for LLMs.☆23Updated 2 weeks ago
- Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.☆88Updated 5 months ago
- [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models☆76Updated last year
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆51Updated last year
- Awesome-Low-Rank-Adaptation☆102Updated 7 months ago
- A curated list of Model Merging methods.☆92Updated 8 months ago
- This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).☆46Updated 2 years ago
- Are gradient information useful for pruning of LLMs?☆45Updated last year
- Official implementation for LaCo (EMNLP 2024 Findings)☆16Updated 8 months ago
- Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 4 months ago
- Code accompanying the paper "Massive Activations in Large Language Models"☆162Updated last year
- [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging☆59Updated 3 months ago
- Official Repo for SparseLLM: Global Pruning of LLMs (NeurIPS 2024)☆61Updated 2 months ago
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆84Updated 11 months ago
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆82Updated 7 months ago
- [ICLR 2025] The official pytorch implement of "Dynamic Low-Rank Sparse Adaptation for Large Language Models".☆19Updated 2 months ago
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆51Updated 2 years ago
- ☆43Updated 11 months ago
- ☆43Updated 7 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆89Updated last year
- Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"☆21Updated 8 months ago
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆82Updated 6 months ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆21Updated last year